select t3.sku from (SELECT sku, SUM(daily_sell_price), SUM(profit) FROM t_sku_analyze2023 where 1=1 -- and statistics_time >= '2023-04-01 00:00:00' -- and statistics_time <= '2023-04-02 01:01:03' AND statistics_time >= '2023-04-01 00:00:00' AND statistics_time <= '2023-04-30 00:00:00' GROUP BY sku) t3 LEFT JOIN (select sku,SUM(refund_monry) AS refund_monry from t_sku_refund_analysis2023 where refund_month = '2023-04' GROUP BY sku) t4 ON t3.sku = t4.sku优化

这个查询可以进行优化，可以尝试以下两个方案：

1. 索引优化：可以在 t_sku_analyze2023 表上建立 (statistics_time, sku) 的联合索引，以及在 t_sku_refund_analysis2023 表上建立 (refund_month, sku) 的联合索引，这样可以加速查询速度。

2. 子查询优化：可以将子查询的结果缓存到临时表中，然后再进行 join 操作，这样可以避免重复计算。例如：

CREATE TEMPORARY TABLE t_sku_analyze_temp AS (
    SELECT sku, SUM(daily_sell_price) AS sell_price, SUM(profit) AS profit 
    FROM t_sku_analyze2023 
    WHERE statistics_time >= '2023-04-01 00:00:00' 
        AND statistics_time <= '2023-04-30 00:00:00' 
    GROUP BY sku
);

CREATE TEMPORARY TABLE t_sku_refund_temp AS (
    SELECT sku, SUM(refund_monry) AS refund_monry 
    FROM t_sku_refund_analysis2023 
    WHERE refund_month = '2023-04' 
    GROUP BY sku
);

SELECT t3.sku 
FROM t_sku_analyze_temp t3 
LEFT JOIN t_sku_refund_temp t4 ON t3.sku = t4.sku;

这样可以避免多次扫描原表，提高查询效率。